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Analytics

Relational vs non-relational database: Which one should you use?

Ever since E. F. Codd introduced the first relational model for storing data at IBM in 1970, the industry has picked up the database technology and used it for its competitive advantage. The relational database management system - or RDBMS - was the default technology for storing and accessing data for a long time. It supported transactional data storage, the building of data products, and was the go-to model for data that was used in data-driven decisioning.

How to get started with ThoughtSpot for ServiceNow Analytics

Since the start of the pandemic, business demands on your IT team have skyrocketed. You need granular, actionable insights to keep up with the speed and volume of digital transformation projects and IT incidents occurring across your organization. Canned reports from SaaS-based systems like ServiceNow aren’t fundamentally built for analytics.

State of the Reverse ETL

Data warehouses fixed one aspect of the data silo problem but introduced another. They function as a large, single source of truth for your organization, but getting insights from this data in a typical Extract, Transform, Load (ETL) data pipeline requires the use of Business Intelligence (BI) and analytics platforms. By the time your data team creates these reports and sends them to other business units, it’s too late for daily decision-making.

What's Next in the Data Cloud with Benoit Dageville & Christian Kleinerman | Snowflake Summit 2021

From the start, Snowflake co-founders envisioned a new and unique way for companies across industries and around the globe to collaborate on data and analytics. Join Benoit Dageville, co-founder and President of Product, and Christian Kleinerman, Snowflake’s SVP of Product, as they share how the Data Cloud vision has become a reality and they unveil the latest Snowflake innovations in five key areas: connected industries, global governance, platform optimization, data programmability, and applications powered by Snowflake. You’ll see new capabilities in action and hear directly from customers and partners about what these new advancements mean for their businesses.

ThoughtSpot, ServiceNow, and Snowflake for IT Workload Management

As the developer of the leading data cloud, Snowflake generates a wealth of IT Service Management data with ServiceNow. But uncovering actionable, granular insights has been a challenge. Now, ThoughtSpot and Snowflake are empowering IT executives to answer all their questions about support ticket backlog and effort with a single pane of interactive insights in ThoughtSpot, powered by Snowflake.

ThoughtSpot, ServiceNow, and Snowflake for Business Application Management

As the developer of the leading data cloud, Snowflake relies on a number of business applications. But creating a holistic view of these applications has been a challenge, as the data is sourced from a variety of systems. By combining application data from multiple sources in the Snowflake data cloud, ThoughtSpot and Snowflake are empowering internal organizations to answer all their questions about enterprise application quality with a single pane of interactive insights in ThoughtSpot, powered by Snowflake.

ThoughtSpot, ServiceNow, and Snowflake for Operational Metrics

ThoughtSpot for ServiceNow at Snowflake - As the developer of the leading data cloud, Snowflake generates a wealth of operational helpdesk data with ServiceNow. ThoughtSpot and Snowflake are enabling helpdesk and operations executives to answer all their questions about operational metrics with a single pane of interactive insights in ThoughtSpot, powered by Snowflake.